582 search results - page 8 / 117 » Info-fuzzy algorithms for mining dynamic data streams |
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
DATAMINE
2006
13 years 8 months ago
2006
Frequent pattern mining on data streams is of interest recently. However, it is not easy for users to determine a proper frequency threshold. It is more reasonable to ask users to ...
DAWAK
2008
Springer
13 years 10 months ago
2008
Springer
Sequential pattern mining is an active field in the domain of knowledge discovery and has been widely studied for over a decade by data mining researchers. More and more, with the ...
KDD
2007
ACM
14 years 9 months ago
2007
ACM
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...